Modified p-median approach for efficient GT cell formation

The objective of this paper is to propose the modified formulations over the classical p-median model for efficiently solving the cell formation (CF) problem with which production managers are faced in implementing group technology (GT) to manufacturing. In spite of its merits as the robust solution approach to GT cell formation, the classical p-median model is limited to small-size CF problems since it requires many binary variables. Necessity of many binary variables makes it difficult for cell designer to use the classical p-median model for solving even medium-sized CF problems, let alone large-size CF problems even though large-memory main frame computer and highly expensive commercial software are used. To resolve this sort of problems, we propose two modified p-median formulations which are even applicable to largest CF problems among the ones found in literature. Their main virtues are as follows. First, the modified p-median formulations encourage speedy implementation of the models. Secondly, the proposed formulations that are applied to moderately large-size CF problems with 30 or more machines can run effectively even on personal computer and education-purpose softwares such as the HYPER LINDO which are available at such a low cost compared with commercial software. Computational results from applying to moderately large-size CF problems with 30 to 50 machines show that the CF using the modified p-median formulations provides very promising implications as compared with the CF using the classical p-median model.

[1]  O Felixoffodile,et al.  Cellular manufacturing: A taxonomic review framework , 1994 .

[2]  Y. Won Two-phase approach to GT cell formation using efficient p-median formulations , 2000 .

[3]  S. Viswanathan A new approach for solving the P-median problem in group technology , 1996 .

[4]  Alberto Garcia-Diaz,et al.  Network flow procedures for the analysis of cellular manufacturing systems , 1996 .

[5]  Mary E. Helander,et al.  Manufacturing cell formation using an improved p -median model , 1998 .

[6]  S. Ng Worst-case analysis of an algorithm for cellular manufacturing , 1993 .

[7]  M. Chandrasekharan,et al.  Grouping efficacy: a quantitative criterion for goodness of block diagonal forms of binary matrices in group technology , 1990 .

[8]  Larry E. Stanfel,et al.  Machine clustering for economic production , 1985 .

[9]  Y. Won,et al.  New p-median approach to cell formation with alternative process plans , 2000 .

[10]  A. Kusiak The generalized group technology concept , 1987 .

[11]  Nallan C. Suresh,et al.  Performance of Selected Part‐Machine Grouping Techniques for Data Sets of Wide Ranging Sizes and Imperfection , 1994 .

[12]  Urban Wemmerlöv,et al.  CELLULAR MANUFACTURING AT 46 USER PLANTS : IMPLEMENTATION EXPERIENCES AND PERFORMANCE IMPROVEMENTS , 1997 .

[13]  M. Oral,et al.  REFORMULATING QUADRATIC ASSIGNMENT PROBLEMS FOR EFFICIENT OPTIMIZATION , 1993 .

[14]  Bhaba R. Sarker,et al.  Measures of grouping efficiency in cellular manufacturing systems , 2001, Eur. J. Oper. Res..

[15]  Bharatendu Srivastava,et al.  Simulated annealing procedures for forming machine cells in group technology , 1994 .

[16]  B. Sarker,et al.  A similarity coefficient measure and machine-parts grouping in cellular manufacturing systems , 2000 .

[17]  Anthony Vannelli,et al.  Strategic subcontracting for efficient disaggregated manufacturing , 1986 .

[18]  F. Boctor A Jinear formulation of the machine-part cell formation problem , 1991 .

[19]  J. King,et al.  Machine-component group formation in group technology: review and extension , 1982 .

[20]  S. Zolfagha Ri,et al.  AN OBJECTIVE-GUIDED ORTHO-SYNAPSE HOPFIELD NETWORK APPROACH TO MACHINE GROUPING PROBLEMS , 1997 .

[21]  Jun Wang,et al.  Formation of machine cells and part families: A modified p-median model and a comparative study , 1997 .

[22]  Jun Wang,et al.  Formation of machine cells and part families in cellular manufacturing: an experimental study , 1995 .

[23]  John L. Burbidge,et al.  Machine grouping for efficient production , 1972 .

[24]  M. Chandrasekharan,et al.  ZODIAC—an algorithm for concurrent formation of part-families and machine-cells , 1987 .

[25]  Chao-Hsien Chu,et al.  Recent advances in mathematical programming for cell formation , 1995 .

[26]  Keith Case,et al.  Component grouping for GT applications—a fuzzy clustering approach with validity measure , 1995 .

[27]  M. Chandrasekharan,et al.  An ideal seed non-hierarchical clustering algorithm for cellular manufacturing , 1986 .

[28]  T. Narendran,et al.  An assignment model for the part-families problem in group technology , 1990 .

[29]  R. A. Sandbothe Two observations on the grouping efficacy measure for goodness of block diagonal forms , 1998 .

[30]  Abraham Mehrez,et al.  Cellular manufacturing: A taxonomic review framework , 1994 .

[31]  Donald H. Liles,et al.  Planning, Design, and Analysis of Cellular Manufacturing Systems , 1995 .

[32]  Asoo J. Vakharia,et al.  Cell formation in group technology: review, evaluation and directions for future research , 1998 .

[33]  Jerry C. Wei,et al.  Commonality analysis: A linear cell clustering algorithm for group technology , 1989 .

[34]  B. Sarker,et al.  A comparison of existing grouping efficiency measures and a new weighted grouping efficiency measure , 2001 .

[35]  J. King,et al.  Machine-component group formation in group technology , 1980 .

[36]  J. F. Ferreira Ribeiro,et al.  A methodology for cellular manufacturing design , 1993 .

[37]  B. R. Sarker,et al.  Grouping efficiency measures in cellular manufacturing: A survey and critical review , 1999 .